Name
Abstract | ||
|---|---|---|
In this letter, we propose a novel approach to adapt the hidden Markov model (HMM) parameters when the original feature vector sequences are transformed by a causal finite impulse response (FIR) filter. Our approach enables us to be free from the requirement of retraining the whole recognition parameters when the feature vectors are changed and makes it sufficient to adapt the parameters to the gi... |
Year | DOI | Venue |
|---|---|---|
2000 | 10.1109/97.863148 | IEEE Signal Processing Letters |
Keywords | DocType | Volume |
Filtering,Hidden Markov models,Finite impulse response filter,Cepstrum,Speech recognition,Noise robustness,Collision mitigation,Nominations and elections,Acoustic testing,Loudspeakers | Journal | 7 |
Issue | ISSN | Citations |
9 | 1070-9908 | 0 |
PageRank | References | Authors |
0.34 | 5 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nam Soo Kim | 1 | 638 | 55.85 |
| Dong Kook Kim | 2 | 50 | 9.44 |